This repository uses the targets
package to build the plots. Run tar_make() to execute
_targets.R .
Install all packages needed to run:
install.packages(c('tidyverse','rnoaa','lubridate','rdrop2','patchwork'))
Running tar_make() will produce:
temperature_plot
This viz piggybacks on the [gage-conditions-gif] data
processing pipeline (https://github.com/USGS-VIZLAB/gage-conditions-gif) that
depends on an internal pipelining package. The data file used
corresponds to
scipiper::scmake("2_process/out/dv_stats.rds.ind", "2_process.yml")
generated for a 1-month time period. (Instructions for internal users
generating the file used by this viz: either re-run the target for the
appropriate dates or filter it to the correct date range. Then save as a
CSV. The CSV file needs to be uploaded to the
water-visualizations-prod-website S3 bucket and live at
visualizations/data/flow_conditions_{YYYYMM}.csv.)